Job Title

About the Role Uber is looking for a Software Engineer to join our Incentive Platform team. This team works at the core of Ubers marketplace, ensuring that drivers and couriers are incentivized to stay engaged on the platform. Generating and delivering the right incentives is one of Ubers most complex engineering challenges, requiring a sophisticated orchestration between dynamic marketplace signals and a seamless driver experience. The platform requires expertise in highscale distributed processing, microservices, and machine learning infrastructure. As an Engineer on the team, youll play a key role in evolving our systems, driving efficiency, and pioneering Ubers nextgeneration MLpowered incentive ecosystem. This is a rare opportunity to own a businesscritical domain with massive global impact. Problems youll be working on Scaling a Global Incentive Engine Design and develop a highthroughput platform that powers millions of incentives across thousands of cities in realtime. Extensible Architecture Build modular, extensible systems that allow our incentive mechanisms to evolve. MLIntegrated Backends Build the infrastructure that makes our algorithms effective. Youll create robust workflows for ML inference and optimization, directly influencing how incentives are generated and delivered at Uber scale. What you will do As a backend engineer, you will architect, design and build software solutions to help with all aspects of capacity planning/management/engineering to scale Ubers infrastructure across a variety of sophisticated workflows and business processes. Design endtoend features and systems to build high quality consumerfacing products. Write code, test, and maintain production services for high availability, reliability, and performance. Work with ML engineers and scientists to develop ML models to improve product performance. Work with Product Managers to understand product requirements and lead product rollout plans. Mentor junior team members. You will collaborate with other teammates to maintain the health of our systems and codebase, refactor and make improvements, and keep our systems robust and resilient. Basic Qualifications 2+ years experience working on the full software life cycle including gathering requirements, project planning, solution design, coding/implementation, testing, rollout/deployment and best practices as an individual contributor. Experience coding using general purpose programming language (eg. C/C++, Java, Python, Go, C#) Fast and passionate learner. Strong collaboration, documentation and communication skills. Preferred Qualifications Experience building consumerfacing products. Experience designing and implementing largescale service with excellent quality. Experience working with Machine Learning engineers and scientists on ML model deployment. Experience collaborating with other engineers and nontech stakeholders, both to meet shortterm goals and to create longterm partnerships. For Canadabased roles: Uber may use artificial intelligence (AI) tools to support parts of our recruiting process; however, Uber employees make the ultimate selection and hiring decisions. This advertisement relates to a current, existing vacancy. For Canadabased roles: The base salary range for this role is CAD$144,000 per year - CAD$160,000 per year. You will be eligible to participate in Uber''s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber''s mission is to reimagine the way the world moves for the better. Here, bold ideas create realworld impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world lets move it forward, together. Offices continue to be central to collaboration and Uber''s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at greenlight hubs, employees are expected to be inoffice for 100% of their time. Please speak with your recruiter to better understand inoffice expectations for this role. Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to . #J-18808-Ljbffr